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Lucic, Mario

  1. Underspecification Presents Challenges for Credibility in Modern Machine Learning
    2020/11/06 by Alexander D'Amour, Alexander D’Amour, Katherine Heller +81 · 8 voices · 44 citations
    Computer Science · Mathematics · #Explainable Artificial Intelligence (XAI) #Machine Learning in Healthcare #Topic Modeling #cs.LG #stat.ML
  2. Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
    2024/03/08 by Gemini Robotics Team, Gemini Team, Petko Georgiev +2277 · 4 voices · 559 citations
    Computer Science · #Semantic Web and Ontologies
  3. MLP-Mixer: An all-MLP Architecture for Vision
    2021/05/04 by Ilya Tolstikhin, Tolstikhin, Ilya, Neil Houlsby +22 · 3 voices · 150 citations
    Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #Adversarial Robustness in Machine Learning
  4. Are GANs Created Equal? A Large-Scale Study
    2017/11/28 by Mario Lučić, Mario Lucic, Lucic, Mario +8 · 2 voices · 15 citations
    Computer Science · Mathematics · #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Music and Audio Processing #Video Analysis and Summarization #cs.LG #stat.ML
  5. Assessing Generative Models via Precision and Recall
    2018/05/31 by Mehdi S. M. Sajjadi, Sajjadi, Mehdi S. M., Olivier Bachem +7 · 41 citations
    Computer Science · #Generative Adversarial Networks and Image Synthesis #Data Visualization and Analytics #Anomaly Detection Techniques and Applications
  6. Revisiting the Calibration of Modern Neural Networks
    2021/06/15 by Matthias Minderer, Josip Djolonga, Minderer, Matthias +13 · 40 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  7. A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark
    2019/10/01 by Zhai, Xiaohua, Puigcerver, Joan, Kolesnikov, Alexander +14 · 26 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  8. On Mutual Information Maximization for Representation Learning
    2019/07/31 by Michael Tschannen, Tschannen, Michael, Josip Djolonga +7 · 35 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Topic Modeling
  9. PaLI-X: On Scaling up a Multilingual Vision and Language Model
    2023/05/29 by Xi Chen, Josip Djolonga, Chen, Xi +83 · 30 citations
    Computer Science · #Multimodal Machine Learning Applications #Domain Adaptation and Few-Shot Learning #Natural Language Processing Techniques
  10. VCT: A Video Compression Transformer
    2022/06/15 by Fabian Mentzer, George Toderici, Mentzer, Fabian +11 · 10 citations
    Computer Science · #Advanced Vision and Imaging #Advanced Image Processing Techniques #Image and Signal Denoising Methods
  11. Recent Advances in Autoencoder-Based Representation Learning
    2018/12/12 by Tschannen, Michael, Bachem, Olivier, Lucic, Mario · 7 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  12. High-Fidelity Image Generation With Fewer Labels
    2019/03/06 by Mario Lučić, Lucic, Mario, Michael Tschannen +9 · 8 citations
    Engineering · Computer Science · #Image Processing Techniques and Applications #Medical Image Segmentation Techniques #Advanced Image Processing Techniques
  13. Practical Coreset Constructions for Machine Learning
    2017/03/19 by Bachem, Olivier, Lucic, Mario, Krause, Andreas · 4 citations
    #FOS: Computer and information sciences #Machine Learning (stat.ML)
  14. RUST: Latent Neural Scene Representations from Unposed Imagery
    2022/11/25 by Mehdi S. M. Sajjadi, Sajjadi, Mehdi S. M., Aravindh Mahendran +11 · 6 citations
    Computer Science · Engineering · #Advanced Neural Network Applications #Advanced Vision and Imaging #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Graphics (cs.GR) #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Robotics and Sensor-Based Localization #electronic engineering #information engineering
  15. Deep Generative Models for Distribution-Preserving Lossy Compression
    2018/05/28 by Tschannen, Michael, Agustsson, Eirikur, Lucic, Mario · 3 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  16. PolyViT: Co-training Vision Transformers on Images, Videos and Audio
    2021/11/25 by Likhosherstov, Valerii, Arnab, Anurag, Choromanski, Krzysztof +4 · 3 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  17. Audiovisual Masked Autoencoders
    2022/12/09 by Georgescu, Mariana-Iuliana, Fonseca, Eduardo, Ionescu, Radu Tudor +3 · 3 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Sound (cs.SD)
  18. On Robustness and Transferability of Convolutional Neural Networks
    2020/07/16 by Djolonga, Josip, Yung, Jessica, Tschannen, Michael +11 · 2 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  19. Fast and Robust Least Squares Estimation in Corrupted Linear Models
    2014/06/12 by McWilliams, Brian, Krummenacher, Gabriel, Lucic, Mario +1 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (stat.ML)
  20. Training Gaussian Mixture Models at Scale via Coresets
    2017/03/23 by Lucic, Mario, Faulkner, Matthew, Krause, Andreas +1 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (stat.ML)
  21. Stochastic Submodular Maximization: The Case of Coverage Functions
    2017/11/05 by Karimi, Mohammad Reza, Lucic, Mario, Hassani, Hamed +1 · 1 citation
    #Discrete Mathematics (cs.DM) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  22. Self-Supervised GANs via Auxiliary Rotation Loss
    2018/11/27 by Ting Chen, Xiaohua Zhai, Chen, Ting +7 · 1 citation
    Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  23. Self-Supervised Learning of Video-Induced Visual Invariances
    2019/12/05 by Tschannen, Michael, Djolonga, Josip, Ritter, Marvin +5 · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  24. Which Model to Transfer? Finding the Needle in the Growing Haystack
    2020/10/13 by Cédric Renggli, André Susano Pinto, Renggli, Cedric +11 · 1 citation
    Computer Science · #Domain Adaptation and Few-Shot Learning #Advanced Neural Network Applications #Multimodal Machine Learning Applications
  25. A Large-Scale Study on Regularization and Normalization in GANs
    2018/07/12 by Karol Kurach, Kurach, Karol, Mario Lučić +7 · 1 citation
    Computer Science · Physics and Astronomy · #Generative Adversarial Networks and Image Synthesis #Model Reduction and Neural Networks #Adversarial Robustness in Machine Learning